White Label AI Agents
Custom AI agents that work for your business, branded as yours. Fully integrated as native features of your product.
The Challenge
You want to add AI capabilities to your product, but building AI features in-house means months of R&D, managing LLM APIs, handling edge cases, and constant maintenance. Off-the-shelf AI tools don't understand your business and show competitor branding.
Generic AI Tools Fall Short
ChatGPT plugins and generic AI assistants don't know your business logic, data, or workflows.
Building In-House Takes Forever
Prompt engineering, LLM selection, error handling, rate limits, cost optimization—it's a full-time job.
Branding Matters
"Powered by OpenAI" on your product makes you look like a reseller, not a platform.
Integration Complexity
AI agents need to access your database, call your APIs, and integrate with existing workflows.
What I Build
Custom AI agents that integrate directly into your Rails application. Built specifically for your use case.
Customer Support Agents
AI agents that answer customer questions using your product documentation, help articles, and historical support tickets. Handle tier 1 support 24/7, escalate complex issues to humans, learn from each interaction.
Data Analysis & Reporting Agents
Let users query their data in plain English. "Show me my top customers this quarter" or "What's my churn rate by plan type?" The agent writes SQL, fetches data, and returns formatted results.
Content Generation Agents
Generate product descriptions, marketing copy, email templates, or any text content specific to your industry. Uses your brand voice and style guidelines.
Workflow Automation Agents
Agents that perform multi-step workflows. Process invoices, qualify leads, triage support tickets, update records across systems. They make decisions based on your business rules.
How We Build White Label AI Agents
I don't just wrap OpenAI's API. I build custom agents integrated directly into your Rails application.
Define the Use Case
What specific problem are we solving? What actions does the agent need to perform? What data does it need access to? I start by understanding your workflow and business logic.
Choose the Right LLM
Not every agent needs GPT-4. We select models based on your specific needs—speed vs accuracy, cost vs capability. Sometimes Claude is better. Sometimes GPT-3.5-turbo is fine. I optimize for your use case.
I handle: OpenAI (GPT-4, GPT-3.5), Anthropic (Claude), open source models (Llama, Mistral)
Build Custom Tools & Integrations
Agents need to interact with your system. I build custom tools that let agents query your database, call your APIs, update records, send notifications. All within your existing Rails application.
Prompt Engineering & Testing
The difference between a mediocre AI agent and a great one is prompt engineering. I test extensively, handle edge cases, and tune prompts until the agent behaves reliably.
Deploy & Monitor
I deploy agents with proper error handling, rate limiting, cost controls, and monitoring. You see exactly what the agent is doing, how much it costs, and how well it's performing.
What You Get
Your Product, Your Brand
Fully white labeled. No third party logos or branding visible to your users.
Custom Built for Your Use Case
Not a generic chatbot. Purpose-built for your specific workflow.
Integrated Into Your Rails App
Direct database access, API calls, permissions enforcement. Not a separate system.
Cost Optimization
I optimize prompts and model selection to minimize LLM costs.
Error Handling & Safety
Proper validation, rate limiting, fallbacks, and monitoring.
You Own Everything
All code, prompts, and configuration. No dependency on us to operate.
Technologies I Use
LLM Providers
- OpenAI (GPT-4, GPT-3.5)
- Anthropic (Claude)
- Open source (Llama, Mistral)
- Custom fine-tuned models
Agent Frameworks
- LangChain
- Custom agent implementations
- Function calling
- RAG (Retrieval Augmented Generation)
Integration
- Direct Rails integration
- Background job processing
- Real-time via Action Cable
- Webhook triggers
Common Questions
How is this different from using ChatGPT directly?
ChatGPT doesn't know your business, can't access your database, and is clearly a third-party tool. I build agents that integrate directly into your application, access your data securely, and appear as native features of your product.
How long does it take to build?
Most agents: 2-4 weeks from kickoff to production. Simple use cases faster, complex workflows longer. I start with a proof of concept in week 1 so you can see it working early.
What if the agent makes mistakes?
I build safety rails: validation, human review steps for critical actions, confidence scoring, and fallbacks. For high-stakes decisions, agents suggest actions that humans approve rather than executing automatically.
Do we need a Rails application?
Rails is where we specialize and can integrate most efficiently. If you have a different stack, we can build standalone agents with API integrations, but the integration will be less tight and may take longer.
Can we update the agent after launch?
Absolutely. You own all the code and prompts. You can update them yourself, or we can help with ongoing improvements and tuning (available on retainer).
Ready to Add AI to Your Product?
Get a free consultation. I'll discuss your use case and show you what's possible with custom AI agents.
Get Your Free Consultation →